Data analytics is undoubtedly a trending career option with limitless opportunities. That's exactly why there are so many online data analysis courses available, ranging from beginners to advanced levels. Having such a range of options is good, but it becomes a task to choose one among them.
So, to help you out with this, here are 5 best data analytics courses online that you can consider to become a data analyst.
But before moving to the list, let's first look at the factors you should consider before choosing a data analytics course online.
Factors to Look at When Choosing a Data Analytics Course Online
- Skills Rich Curriculum
The curriculum should include all the major data analysis skills like Excel, Spreadsheet, Python or R, etc.
- Course Length
A course that can be completed in 2-6 months by giving 5-10 hours per week is best.
- Type of course
You can choose either a self-paced or instructor-led course according to your schedule.
- Certificate of Completion
There must be a certificate of completion with the course to add to your resume.
Five Best Data Analyst Course Online
- “Best Data Analytics Course Online [Updated in 2023]” by Coding Ninjas
The first course in the list is by well-known EdTech company Coding Ninjas. The best part about this data analytics course online is that it has been updated recently with all the components added to it. It has a rating of 4.8 stars, and more than five thousand students have already enrolled in the course.
The course is being led by three mentors who have experience in companies like Walmart, McKinsey, Facebook, Amazon, and many more. Moreover, the course also offers a free-of-cost trial for everyone.
Skills You'll Learn
- Spreadsheet - Anmol Agarwal
- Tableau - Prateek Singla
- Python and ML - Ankush Singla
- SQL and Statistics - Nidhi Agarwal
- EDA - Mayur Gupta
Features of the Course
- The course has 50+ hours of lecture content.
- You will get more than 8 data analytics projects guided by the experts.
- The course offers coding and analytics problems of various difficulty levels.
- It also has a one-on-one doubt-solving facility to get your doubts cleared personally.
- You can also stand a chance to get placed at your mentors' companies.
- You can also get 60-90 days of course pause during the course.
- “Become a Data Analyst” by LinkedIn Learning
One of the biggest professional social media and job search platforms, LinkedIn has its dedicated platform, LinkedIn Learning. Here, you will find the "Become a Data Analyst" course, a detailed course to learn the skills to become a data analyst.
Skills You'll Learn
- Excel and Statistics
- Power BI
- Data Visualisation
- Tableau
- sql
- R Language
- Python
Features of the course
- The course has around 40 hours of content.
- The course is divided into 13 sub-courses, which allows you to schedule courses accordingly.
- It will help you to build many soft skills like communication, teamwork, and problem-solving.
- “Data Analyst in R” by DataQuest
If you are interested in learning data analytics in R, then it is a good course. Unlike many courses, which are not very detailed and don't start from scratch, it is a friendly course. The course has already got more than 86,000 people enrolled and learning data analytics.
Skills You'll Learn
- R programming
- Data visualization in R
- SQL
- Probability and Statistics
- Machine Learning and predictive Modeling
Features of the course
- The course is divided into 23 parts. The division is done based on the tool or skill you'll learn.
- It has 16 projects lined up throughout the course with increasing difficulty.
- You can complete the course by giving only 5 hours a week for four months.
- It is a self-paced course, so that you can schedule it.
- "Google Data Analytics Professional Certificate" Available on Coursera
If you want to add a data analyst certificate from a well-known company, then you pursue this free course by Google. This course is created keeping in mind the needs of a beginner. It is listed on the Coursera platform, where 1,800,000+ people have already enrolled for the course.
Skills You'll Learn
- Data Visualisation
- SQL
- Data Cleansing
- Meta Data
- Tableau
- Spreadsheet
- Presentation
- R Programming
Features of the course
- It is an eight-course series you can complete in 6 months by giving 10 hours a week.
- It allows you to learn data analysis at your own pace.
- You'll also learn many soft skills like job portfolio creation, Problem Solving, Questioning, Decision Making, etc.
- "Excel Skills for Data Analytics and Visualization Specialization" Available on Coursera
If you are already a data analyst and want to learn new Excel skills in data analytics, then it is a great course. It is a short course by Macquarie University that will help you update your Excel knowledge.
Skills You'll Learn
- Data Analysis
- Microsoft Excel
- Data Visualisation
Features of the course
- The course is rated 4.8 by 2960 people who learned data analytics with this course.
- This data analytics course online can be completed in under one month by giving only 10 hours a week.
- It is available in eight different languages, including English and Hindi.
What is sorting in data structure?
Sorting in data structures refers to the technique that helps to sort a given data set into an ordered set. There are various algorithms for sorting data structures. These sorting algorithms differ in the use of data structures in them, the logic that is used in them, and different complexity. Sorting in data structures is used in many programs. Moreover, these algorithms are also helpful for students to learn DSA.
Some of the popular algorithms for sitting in data structures are:
- Bubble Sort
- Quick Sort
- Merge Sort
- Insertion Sort
- Selection Sort
Wrapping Up
According to the trends that are currently live, data analytics is a booming career option. That's why there have emerged a lot of options to learn data analysis. However, if you are a student or a professional with a busy schedule, then a data analytics course online will be the option for you. So, to conquer the world of data, start learning today with the courses listed above.
